2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) 2020
DOI: 10.1109/itaic49862.2020.9339162
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Application of an Improved Partial Least Squares Algorithm for Predicting Octane Losses in Gasoline Refining Process

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“…This method can be used to reduce overfitting and effectively predict octane number and residual value. Furthermore, machine learning-based data mining methods were widely used by some scholars [10][11][12][13][14], and these proposed models were superior to the traditional methods in both accuracy and generalization and achieved better results in predicting octane number.…”
Section: Introductionmentioning
confidence: 99%
“…This method can be used to reduce overfitting and effectively predict octane number and residual value. Furthermore, machine learning-based data mining methods were widely used by some scholars [10][11][12][13][14], and these proposed models were superior to the traditional methods in both accuracy and generalization and achieved better results in predicting octane number.…”
Section: Introductionmentioning
confidence: 99%